Computational Approaches in Cheminformatics and Bioinformatics

Computational Approaches in Cheminformatics and Bioinformatics
Author :
Publisher : John Wiley & Sons
Total Pages : 299
Release :
ISBN-10 : 9780470384411
ISBN-13 : 0470384417
Rating : 4/5 (417 Downloads)

Book Synopsis Computational Approaches in Cheminformatics and Bioinformatics by : Rajarshi Guha

Download or read book Computational Approaches in Cheminformatics and Bioinformatics written by Rajarshi Guha and published by John Wiley & Sons. This book was released on 2012-01-04 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: A breakthrough guide employing knowledge that unites cheminformatics and bioinformatics as innovation for the future Bridging the gap between cheminformatics and bioinformatics for the first time, Computational Approaches in Cheminformatics and Bioinformatics provides insight on how to blend these two sciences for progressive research benefits. It describes the development and evolution of these fields, how chemical information may be used for biological relations and vice versa, the implications of these new connections, and foreseeable developments in the future. Using algorithms and domains as workflow tools, this revolutionary text drives bioinformaticians to consider chemical structure, and similarly, encourages cheminformaticians to consider large biological systems such as protein targets and networks. Computational Approaches in Cheminformatics and Bioinformatics covers: Data sources available for modelling and prediction purposes Developments of conventional Quantitative Structure-Activity Relationships (QSAR) Computational tools for manipulating chemical and biological data Novel ways of probing the interactions between small molecules and proteins Also including insight from public (NIH), academic, and industrial sources (Novartis, Pfizer), this book offers expert knowledge to aid scientists through industry and academic study. The invaluable applications for drug discovery, cellular and molecular biology, enzymology, and metabolism make Computational Approaches in Cheminformatics and Bioinformatics the essential guidebook for evolving drug discovery research and alleviating the issue of chemical control and manipulation of various systems.


Computational Approaches in Cheminformatics and Bioinformatics Related Books

Computational Approaches in Cheminformatics and Bioinformatics
Language: en
Pages: 299
Authors: Rajarshi Guha
Categories: Science
Type: BOOK - Published: 2012-01-04 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

A breakthrough guide employing knowledge that unites cheminformatics and bioinformatics as innovation for the future Bridging the gap between cheminformatics an
Chemoinformatics and Bioinformatics in the Pharmaceutical Sciences
Language: en
Pages: 510
Authors: Navneet Sharma
Categories: Business & Economics
Type: BOOK - Published: 2021-05-21 - Publisher: Academic Press

DOWNLOAD EBOOK

Chemoinformatics and Bioinformatics in the Pharmaceutical Sciences brings together two very important fields in pharmaceutical sciences that have been mostly se
Chemoinformatics in Drug Discovery
Language: en
Pages: 515
Authors: Tudor I. Oprea
Categories: Science
Type: BOOK - Published: 2006-03-06 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

This handbook provides the first-ever inside view of today's integrated approach to rational drug design. Chemoinformatics experts from large pharmaceutical com
Tutorials in Chemoinformatics
Language: en
Pages: 665
Authors: Alexandre Varnek
Categories: Science
Type: BOOK - Published: 2017-06-22 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

30 tutorials and more than 100 exercises in chemoinformatics, supported by online software and data sets Chemoinformatics is widely used in both academic and in
Chemoinformatics and Advanced Machine Learning Perspectives: Complex Computational Methods and Collaborative Techniques
Language: en
Pages: 418
Authors: Lodhi, Huma
Categories: Computers
Type: BOOK - Published: 2010-07-31 - Publisher: IGI Global

DOWNLOAD EBOOK

"This book is a timely compendium of key elements that are crucial for the study of machine learning in chemoinformatics, giving an overview of current research